Member of Technical Staff - Vision-Language Model Data

Liquid AI; San Francisco (CA); On-site; USD 60,000 - 240,000; Full time

Job summary

Liquid AI seeks a talented Member of Technical Staff to develop Vision-Language models. This full-time role focuses on enhancing dataset quality through advanced data processing and collaboration. Applicants should possess significant experience in dataset engineering and machine learning, with strong Python programming skills.

Qualifications

• 5+ years experience for B.S., 3+ for M.S., or 1+ for Ph.D.
• Expertise in dataset engineering required.
• Strong coding skills in Python with ML frameworks.

Responsibilities

• Develop data processing and cleaning pipelines for image-text data.
• Create synthetic data augmentation pipelines to enhance dataset quality.
• Collaborate with the multimodal vision team on new datasets.

Skills

Data curation

Data cleaning

Data augmentation

Synthetic data generation

Machine Learning

Programming in Python

Education

B.S. in related field

M.S. or Ph.D. in Computer Science, Electrical Engineering, or related field

Job description

Member of Technical Staff - Vision-Language Model Data

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Member of Technical Staff - Vision-Language Model Data

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Liquid AI, an MIT spin-off, is a foundation model company headquartered in Boston, Massachusetts. Our mission is to build capable and efficient general-purpose AI systems at every scale.

Our goal at Liquid is to build the most capable AI systems to solve problems at every scale, such that users can build, access, and control their AI solutions. This is to ensure that AI will get meaningfully, reliably and efficiently integrated at all enterprises. Long term, Liquid will create and deploy frontier-AI-powered solutions that are available to everyone.

We are seeking a highly skilled Member of Technical Staff - Vision-Language Model Data to play a critical role in the development of Liquid Vision-Language models. This role focuses on gathering high-quality vision-language midtraining and SFT datasets.

Key Responsibilities

• Create and maintain data processing, cleaning, filtering, and selection pipeline that can handle image-text data
• Watch out for the release of public high quality VLM datasets
• Create and maintain synthetic data augmentation pipeline to enhance VLM data quality
• Work with the multimodal vision team to run ablations on new dataset
  
  
  
  

Required Qualifications

• Experience Level: B.S. + 5 years experience or M.S. + 3 years experience or Ph.D. + 1 year of experience
• Dataset Engineering: Expertise in data curation, cleaning, augmentation, and synthetic data generation techniques
• Machine Learning Expertise: Ability to write and debug models in popular ML frameworks, and experience working with LLMs and VLMs
• Software Development: Strong programming skills in Python, with an emphasis on writing clean, maintainable, and scalable code
  
  
  
  

Preferred Qualifications

• M.S. or Ph.D. in Computer Science, Electrical Engineering, Math, or a related field
• Experience fine-tuning or customizing LLMs and VLMs
• 2+ years working in computer vision
• First-author publications in top ML or vision conferences (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV)
• Contributions to popular open-source projects
  
  

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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